ZipRecruiter

Log In

1

Machine Vision Application Engineer Jobs in Easton, MD

Fuse Engineering LLC

Software Engineer

Annapolis, MD · On-site +1

Software engineer to maintain and expand a Java based machine learning model-building system. The ideal candidate would be able to deploy the application in Kubernetes environment and independently ...

Endepth Solutions

General Application

Annapolis, MD · On-site

$40K/yr

Dental and Vision options * Employer paid Life, AD&D, STD & LTD coverages * 401(k) with company ... Headquartered in Annapolis Junction, MD, EnDepth provides Engineering Services, Cyberspace ...

Albireo Energy

BAS Project Engineer

Gambrills, MD · On-site

$67K - $86K/yr

This includes sales to operations turnover, application engineering, programming, and field ... Benefits Medical Insurance Dental Insurance Vision Insurance Basic Life Insurance Voluntary Life ...

previous pagenext page

Showing results 21-40

All JobsMachine Vision Application Engineer JobsMachine Vision Application Engineer Jobs in Easton, MD

Machine Vision Application Engineer information

See Easton, MD salary details

$51.2K

$112.2K

$154.1K

How much do machine vision application engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for machine vision application engineer in Easton, MD is $112,198.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,100.00 and $136,800.00 per year, depending on experience, location, and employer.

How does a machine vision application engineer typically collaborate with other departments during a project?

Machine Vision Application Engineers frequently work in cross-functional teams, collaborating closely with software developers, mechanical engineers, and production staff to ensure vision systems integrate seamlessly into manufacturing processes. They are often involved from the initial requirements gathering stage through to implementation and troubleshooting, providing technical expertise and translating complex imaging needs into practical solutions. Regular communication with quality assurance and operations teams is also common, as these engineers help fine-tune systems to maintain accuracy and efficiency on the production floor.

What is a machine vision application engineer?

A Machine Vision Application Engineer is a technical professional who designs, develops, and implements machine vision systems used for automated inspection, measurement, and guidance in manufacturing and industrial environments. They work with cameras, sensors, lighting, and image processing software to create solutions that help machines 'see' and interpret visual information. Their role often involves collaborating with clients to understand application requirements, selecting appropriate hardware and software, and ensuring successful system integration. Machine Vision Application Engineers play a key role in improving product quality, production efficiency, and automation processes.

What are the key skills and qualifications needed to thrive as a machine vision application engineer, and why are they important?

To thrive as a Machine Vision Application Engineer, you need a solid background in engineering or computer science, experience with image processing, and a strong understanding of optics and camera technologies. Familiarity with machine vision software (such as Cognex, Halcon, or OpenCV), programming languages (like C++ or Python), and industrial automation systems is typically required. Strong problem-solving skills, effective communication, and project management abilities help you excel in client-facing and cross-disciplinary environments. These skills are crucial for designing, implementing, and supporting robust vision systems that meet manufacturing and automation needs.

What is the difference between Machine Vision Application Engineer vs Computer Vision Engineer?

AspectMachine Vision Application EngineerComputer Vision Engineer
Required CredentialsBachelor's in Engineering, Computer Science, or related field; experience with vision systemsBachelor's or higher in Computer Science, Electrical Engineering, or related; strong programming skills
Work EnvironmentManufacturing, automation, quality control settingsResearch labs, tech companies, AI development environments
Industry UsageIndustrial automation, robotics, manufacturingAI, autonomous vehicles, image analysis
Common Search/ComparisonYesYes

While both roles involve image processing and vision systems, the Machine Vision Application Engineer focuses on implementing vision solutions in industrial settings, whereas the Computer Vision Engineer works on developing algorithms and AI models for broader applications like autonomous vehicles and AI research.

Machine Vision Application Engineer jobs near you

Software Engineer 2 (Mission Application Dev & Int) with Security Clearance

Cornerstone Defense

Annapolis, MD • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

Job description

Title: Software Engineer 2 (Mission Application Dev & Int) Location: Annapolis Junction, MD Compensation Range: $170 -$190K *Clearance: *Active TS/SCI w/ Polygraph needed to apply * Company Overview: Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space communities of the U.S. Government. Realizing early on that our most prized assets are our employees, we continually focus our attention on improving the overall work/life experience they have supporting the mission. Our Team is pushed every day to use their industry leading knowledge to provide end-to-end solutions to combat our nation's toughest and most secure problems. If you are looking for a place to not only be professionally challenged, but encouraged and supported by a company that cares, don't look any further than Cornerstone Defense. Benefits Overview: Cornerstone Defense offers a very comprehensive benefits package including, but not limited to: Medical, Dental and Vision Plans * Generous PTO Policy * 401(k) * HSA and FSA options * Life and Disability Insurance * Tuition Reimbursement and Training * Perks at Work Discount Program * Referral Program * Leads Generation Program * CollegeAmerica 529 * Fitness Reimbursement Program * Travel Assistance * Norton Lifelock Benefit Solutions * Life Planning Financial & Legal Services * SWE-2 Qualifications: Master's degree in computer science or related discipline from an accredited college or university, plus three (3) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity. OR Bachelor's degree in computer science or related discipline from an accredited college or university, plus five (5) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity. OR Seven (7) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity. Position Description The Software Engineer shall be responsible for developing, sustaining, and troubleshooting GHOSTGEMs software suite of applications including DINO and possibly future capabilities as mission needs arise. Software development activities include implementation, testing, and integration with other COTS, GOTS, and FOSS products, packages, and libraries. Position Required Skills * Experience using the Linux CLI * Experience using Linux tools and developing Bash scripts to automate manual processes * Recent software development experience using Python * Willingness to learn Splunk for data collection, message brokers, data storage, and presentation tools * Familiar interfacing with Log Management tools including Syslog-ng and rsyslog * Familiar Message Brokers such as Kafka * Experience with IaC (Infrastructure as Code) principles and automation tools including Ansible * Experience with CI/CD principles, methodologies, and tools such as GitLab CI * Experience with Git Source Control System Position Desired Skills * Experience with SQL databases including PostgreSQL * Familiar with IaC principles, methodologies, and tools such as Ansible * Experience with Rust programming concepts, or a willingness and aptitude to learn Rust * Experience with the Atlassian Tool Suite including Jira and Confluence

Apply